The effect of feed-in-tariff supporting schemes on the viability of a district heating and cooling production system

Combined cooling, heat and power systems represent an efficient alternative to supply heating and cooling demand compared to conventional boilers and air conditioner systems. However, considering the high level of upfront investment and the relatively long lifetimes, it is important to provide some form of long-term certainty to reduce the risk of deployment of these systems. To overcome this uncertainty, this paper describes a method to calculate an appropriate feed-in-tariff scheme to support investors and public authorities to foster the penetration of this technology in areas with high energy demands. It is subsequently tested in a scientific and technology park located in the south of Spain where different energy prices are studied. The results indicate that a feed-in-tariff is required to support the development of combined heating, cooling, and power systems, which not only improves the economic performance of the system, but also increases the utilisation of more efficient generation technologies such as combined cooling, heat and power systems.

[1]  J. Prins Directive 2003/98/EC of the European Parliament and of the Council , 2006 .

[2]  Paola Caputo,et al.  A Methodology for Defining Electricity Demand in Energy Simulations Referred to the Italian Context , 2013 .

[3]  Jose Manuel Cejudo-Lopez,et al.  Selection of typical demand days for CHP optimization , 2011 .

[4]  R. G. Bloomquist,et al.  District heating and cooling for the city and port of Tacoma: Phase 1, Feasibility study , 1988 .

[5]  Sven Werner,et al.  International review of district heating and cooling , 2017 .

[6]  R. Chacartegui,et al.  District heating systems based on low-carbon energy technologies in Mediterranean areas , 2017 .

[7]  Bernd Möller,et al.  Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system , 2014 .

[8]  Zacharias B. Maroulis,et al.  Design of a combined heating, cooling and power system: Sizing, operation strategy selection and parametric analysis , 2010 .

[9]  Michael A. Gerber,et al.  EnergyPlus Energy Simulation Software , 2014 .

[10]  Alberto Coronas,et al.  Operational optimisation of a complex trigeneration system connected to a district heating and cooling network , 2013 .

[11]  Takao Kashiwagi,et al.  CO2 mitigating effects by waste heat utilization from industry sector to metropolitan areas , 2004 .

[12]  Lorenzo Pagliano,et al.  Heating and cooling energy demand and loads for building types in different countries of the EU , 2014 .

[13]  R. Haas,et al.  Fixed feed-in tariff versus premium: A review of the current Spanish system , 2012 .

[14]  J. C. Bruno,et al.  Selection of typical days for the characterisation of energy demand in cogeneration and trigeneration optimisation models for buildings , 2011 .

[15]  Gabriele Comodi,et al.  Criticalities of district heating in Southern Europe: Lesson learned from a CHP-DH in Central Italy , 2017 .

[16]  Pardo Garcia Nicolas,et al.  Best available technologies for the heat and cooling market in the European Union , 2012 .

[17]  José Manuel Cejudo López,et al.  VIABILIDAD DE UNA RED DE DISTRIBUCIÓN DE CALOR Y FRÍO , 2012 .

[18]  Jaeger-Waldau Arnulf,et al.  ETRI 2014 - Energy Technology Reference Indicator projections for 2010-2050 , 2014 .

[19]  Fredrik Wallin,et al.  District heating cost fluctuation caused by price model shift , 2017 .

[20]  Erik Dotzauer,et al.  Simple model for prediction of loads in district-heating systems , 2002 .

[21]  Luis M. Serra,et al.  Polygeneration and efficient use of natural resources , 2009 .

[22]  Arun Kumar,et al.  A review on modeling and simulation of building energy systems , 2016 .

[23]  Luis M. Serra,et al.  Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints , 2010 .

[24]  Simon Harvey,et al.  Economic feasibility of district heating delivery from industrial excess heat: A case study of a Swedish petrochemical cluster , 2014 .

[25]  Paulo Cesar Tabares-Velasco Time Step Considerations When Simulating Dynamic Behavior of High-Performance Homes , 1995 .